Curating a list of AutoML-related research, tools, projects and other resources

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

Code for Channelformer: Attention based Neural Solution for Wireless Channel Estimation and Effective Online Training

A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.

An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

CMSIS-NN Library

Mean Average Precision for Object Detection

Implementation of GLNN

LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier.

CODIGO - MESTRADO

Komondor Wireless Networks Simulator

This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis

Models and examples built with TensorFlow

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Simulation code for “Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning,” by Özlem Tugfe Demir, Emil Björnson, IEEE Open Journal of the Communi…

A fast simulator and a library dedicated to the channel coding.